Multimodal Method to Understand Real-world Learning Driven by Internal Strategies
Proceeding
Masaya Okada, College of Informatics, Academic Institute, Shizuoka University, Japan ; Yasutaka Kuroki, Faculty of Informatics, Shizuoka University, Japan ; Masahiro Tada, Faculty of Science and Engineering, Kindai University, Japan
EdMedia + Innovate Learning, in Vancouver, BC, Canada ISBN 978-1-939797-24-7 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
Abstract
Education is traditionally designed and practiced in classrooms, but recent research has shown the importance of real-world learning for autonomously searching and obtaining knowledge in and from the world. This paper considers the characteristics of knowledge space that are self-organized inside a learner through bottom-up real-world behavior, and then models a process in which a learner's strategies activate and drive inquiry behavior to achieve knowledge in and from the world. By improving our technologies for multimodal knowledge sensing, this research proposes analytics to code and understand the time-series of learning strategies occurring through learner-environment interactions. As an initial and important step in the research, we analyze learners' possible strategies in the world to find strategies related to the production of inquiry behavior.
Citation
Okada, M., Kuroki, Y. & Tada, M. (2016). Multimodal Method to Understand Real-world Learning Driven by Internal Strategies. In Proceedings of EdMedia 2016--World Conference on Educational Media and Technology (pp. 1248-1257). Vancouver, BC, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved March 28, 2024 from https://www.learntechlib.org/primary/p/173116/.
© 2016 Association for the Advancement of Computing in Education (AACE)
References
View References & Citations Map- Bloom, B.S. (1976). Human characteristics and school learning. McGraw-Hill, New York.
- Dewalt, K.M. And Dewalt, B.R. (2011). Participant Observation: A Guide for Fieldworkers. AltaMira Press, Lanham, MD.
- Döernyei, Z. (2006). The Psychology of the Language Learner-Individual Differences in Second Language Acquisition. Routledge, New York.
- Ericsson, K.A. And Simon, H.A. (1980). Verbal reports as data. Psychological Review, 87(3):215-251.
- Ericsson, K.A. And Simon, H.A. (1984). Protocol Analysis: Verbal Reports as Data. The MIT Press, Cambridge, MA.
- Felder, R.M. And Silverman, L.K. (1988). Learning and teaching styles in engineering education. Engineering Education, 78(7):674-681.
- Glogger, I., Schwonke, R., Holzäpfel, L., Nückles, M., and Renkl, A. (2012). Learning strategies assessed by journal writing: Prediction of learning outcomes by quantity, quality, and combinations of learning strategies. Journal of Educational Psychology, 104(2):452-468.
- Lave, J. And Wenger, E. (1991). Situated Learning: Legitimate Peripheral Participation. Cambridge University Press, Cambridge, UK.
- Macaro, E. (2002). Learning Strategies in Foreign and Second Language Classrooms. Continuum International Publishing, New York.
- Rendell, L., Fogarty, L., Hoppitt, W.J.E., Morgan, T.J.H., Webster, M.M., and Laland, K.N. (2011). Cognitive culture: theoretical and empirical insights into social learning strategies. Trends in Cognitive Sciences, 15(2):68-76.
- Salovaara, H. (2005). An exploration of students' strategy use in inquiry-based computer-supported collaborative learning. Journal of Computer Assisted Learning, 21:39-52.
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